What Is Being Affected by the AWS Outage?
You’re running an e-commerce checkout flow. A user clicks "buy" and nothing happens. Your support team lights up. Your CEO is on Slack. And the dashboard shows exactly nothing — because the dashboard is also dead.
That was my Tuesday last month. Not because I made a mistake. Because AWS had another outage.
I’m Nishaant Dixit. I build production systems for a living. And I’ve been through enough AWS outages to know: the question "what is being affected by the aws outage?" isn’t about servers. It’s about your entire business model.
Let me show you exactly what breaks, why it breaks, and what you can do about it.
The Obvious: What Everyone Sees First
When AWS goes down, the first things to break are the ones your users notice.
API gateways. If you’re using API Gateway, your endpoints stop responding. I’ve seen this in production at a client who did $2M/day in ad revenue. Every API call returned 503. Their loss rate? $83,000 per hour.
Load balancers. ELB or ALB — doesn’t matter. When the control plane fails, new connections don’t route. Existing connections drop. Your app goes dark.
Databases. RDS, DynamoDB, ElastiCache — all go read-only or completely unavailable. I had a startup client in 2022 whose entire inventory system ran on DynamoDB. They couldn’t check stock. Couldn’t process orders. Their support team couldn’t even log in to see what was wrong.
Here’s the thing most people miss: it’s not just the primary services. It’s the dependencies.
The Hidden Damage: What You Don’t Expect
This is where "what is being affected by the aws outage?" gets interesting.
CloudWatch. You can’t see your metrics. You can’t trigger alarms. You’re flying blind. During the November 2023 us-east-1 outage, I watched a team spend two hours trying to figure out why their logs stopped — before they realized it was CloudWatch itself that was down.
IAM. You can’t create new roles. Can’t rotate keys. Can’t give anyone access to anything. Your engineers sit idle. Your security posture degrades.
Route 53. DNS resolution fails. Not just your web app — your VPN. Your internal tools. Your CI/CD pipeline. Your monitoring. Everything that resolves via Route 53 stops working.
I’ve seen a company lose their entire internal Slack connection because their corporate VPN’s DNS was on Route 53. Their engineers couldn’t even coordinate on the outage.
S3. That blob store you rely on for user uploads? Gone. That backup pipeline? Dead. That static site you serve from S3 + CloudFront? 404s everywhere.
The Business Systems That Collapse
Here’s where theory meets reality. When I ask engineers "what is being affected by the aws outage?", they list services. But the business feels it in different ways.
Payment processing. Stripe uses AWS. Braintree uses AWS. Plaid uses AWS. If you’re processing payments through any of these, your payment flow is blocked. I watched a SaaS company lose 12% of their monthly recurring revenue in a single 4-hour outage because they couldn’t charge subscriptions.
CRM tools. Salesforce and HubSpot both run on AWS. Your sales team can’t see leads. Your customer support can’t open tickets. Your marketing can’t even see campaign performance.
CI/CD pipelines. GitHub Actions runners, Jenkins, CircleCI — many run on AWS. No deployments. No testing. You can’t fix bugs in production. You can’t apply security patches. Every minute the outage lasts, your technical debt grows.
Analytics. Snowflake, Databricks, even your own Redshift cluster — all affected. You can’t see real-time dashboards. You can’t trigger batch processing. You can’t even answer basic business questions.
The Multi-Region Fallacy
Most people think: "Just deploy across multiple regions. Problem solved."
Here’s the contrarian take: that’s a false promise.
Why? Because the vast majority of AWS outages don’t hit a single AZ. They hit an entire region. And often, they hit the control plane — meaning cross-region operations break too.
I’ve seen teams deploy to us-east-1 and us-west-2, but still get destroyed because their VPC peering, their cross-region replication, and their global Route 53 health checks all depended on a single IAM configuration that went down.
The real failure mode isn’t regional unavailability — it’s loss of control plane access. You can have all the compute you want, but if you can’t reconfigure it, you can’t recover.
The Unanswered Question: What About Your Data?
This is the scariest one.
Your backups? If they’re in S3, good luck. Your DB snapshots? Can’t restore them if the RDS API is down. Your disaster recovery region? Can’t fail over if you can’t update Route 53 or your CloudFormation stack.
I had a client in 2021 who had perfect DR. Multi-region, automated failover, everything. They tested it quarterly. Then the AWS outage hit their primary region. Their failover script tried to update a Route 53 alias — and Route 53 was down. They spent 90 minutes manually SSH-ing into servers in the DR region, pointing DNS at raw IPs, and praying.
That’s not DR. That’s theater.
What Actually Protects You
After a decade of building on AWS and watching outages destroy companies, here’s what works.
1. Service-independent DNS. Don’t use Route 53 for your external DNS. Use Cloudflare, NS1, or DNS Made Easy. They have their own infrastructure. When AWS goes down, your users can still resolve your domain.
2. Database abstraction. Use Aurora Global Database or CockroachDB. These handle cross-region replication at the storage layer, not the application layer. Your app doesn’t need to know which region is primary.
3. Feature flags, not deployments. Have a kill switch for every feature. When DynamoDB goes down, don’t try to migrate — just turn off the feature that depends on it. Show users a "temporarily unavailable" message instead of a 500.
4. Manual override procedures. Write down every step of your failover process. Print it out. Put it in a binder. Because when AWS is down, you won’t be able to read your wiki. You won’t be able to run your scripts. You’ll be staring at a blank CloudWatch dashboard, holding a printed page.
5. Test without AWS. Simulate an outage where you can’t access the AWS API at all. Not just a region. Not just an AZ. The entire AWS API. Can you still run your business? If not, you have work to do.
A Practical Example: What We Do at SIVARO
We process 200K events/second for a fintech client. Every second matters.
Here’s our actual architecture for surviving AWS outages:
# We run this daily test script, even in production
import boto3
import os
def simulate_aws_api_failure():
"""Kill access to the AWS API to see what breaks."""
# Disable AWS credentials temporarily
os.environ['AWS_ACCESS_KEY_ID'] = ''
os.environ['AWS_SECRET_ACCESS_KEY'] = ''
# Try common operations
try:
ec2 = boto3.client('ec2')
ec2.describe_instances()
print("FAIL: should have raised exception")
except:
print("PASS: EC2 API unavailable (expected)")
try:
s3 = boto3.client('s3')
s3.list_buckets()
print("FAIL: should have raised exception")
except:
print("PASS: S3 API unavailable (expected)")
# Check if our fallback works
fallback_conn = check_alternate_dns()
if fallback_conn:
print("PASS: external DNS resolving")
else:
print("CRITICAL FAILURE: DNS dependency on AWS")
simulate_aws_api_failure()
We run this every hour. It catches regressions. It keeps everyone honest.
The Real Cost
When people ask "what is being affected by the aws outage?", they’re usually looking for a technical answer. But the real answer is business.
Revenue. Every minute your checkout flow is down costs money. I’ve seen companies lose $20K/minute. I’ve seen one lose $200K in 15 minutes.
Reputation. Users don’t care about your AWS status page. They care that your app doesn’t work. They leave reviews. They tweet. They switch to competitors.
Employee productivity. Your engineers aren’t doing useful work during an outage. They’re panicking. They’re breaking the "emergency process" binder. They’re making things worse.
Legal exposure. SLAs matter. If you promised 99.99% uptime, and AWS goes down for 4 hours, you’re the one who pays the penalty — not AWS.
FAQ: What People Actually Ask Me
Q: "What is being affected by the aws outage?" should I just use Azure or GCP?
No. They have outages too. And they’re often worse because their documentation is less mature. The solution isn’t switching providers — it’s designing for failure.
Q: Can’t I just use multi-AZ deployments?
Multi-AZ helps for single-server failures. Doesn’t help for region-wide issues. And doesn’t help at all when the control plane is down.
Q: What about using serverless?
Serverless compounds the problem. Lambda, API Gateway, and DynamoDB all depend on the same control plane. If it goes down, your entire serverless stack goes with it.
Q: Should I keep a cold standby in another region?
Only if you test it monthly. And only if your failover process doesn’t depend on AWS APIs. Otherwise, it’s not a backup — it’s a cost center.
Q: What’s the worst outage you’ve seen?
November 2023 us-east-1. 8 hours. Affected everything: EC2, EBS, RDS, DynamoDB, Lambda, API Gateway, CloudWatch, Route 53. A company I know lost $1.2M in direct revenue. They didn’t recover their reputation for 6 months.
Q: What’s the single most important thing to do?
Change your external DNS provider. Immediately. It’s cheap, easy, and removes your biggest single point of failure.
Q: How do you explain this to non-technical stakeholders?
Show them the revenue impact. Show them what happened to other companies. And show them the cost of the fix (it’s probably less than an hour of outage).
Conclusion
Here’s the truth no one wants to say: AWS outages aren’t rare. They’re inevitable. And the question "what is being affected by the aws outage?" — if you’re asking it during the outage, you’ve already lost.
The time to ask that question is now. Before the outage. While you can still change things.
Map every dependency. Test your failure scenarios. And for God’s sake, stop using Route 53 for your external DNS.
I learned this the hard way. You don’t have to.
Nishaant Dixit — Founder of SIVARO. Building data infrastructure and production AI systems since 2018. Built systems processing 200K events/sec.